Spatial mode estimation for functional random fields with application to bioturbation problem

DOI10.1007/s00477-009-0339-6zbMath1462.62700OpenAlexW1967024692WikidataQ60458046 ScholiaQ60458046MaRDI QIDQ2319558

Philippe Cuny, Sophie Dabo-Niang, Franck Gilbert, Anne-Françoise Yao, Laura Pischedda

Publication date: 19 August 2019

Published in: Stochastic Environmental Research and Risk Assessment (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00477-009-0339-6

zbMATH Keywords

heterogeneitydensity estimationfunctional dataspatial modebioturbation

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics to environmental and related topics (62P12)

Related Items (8)

Statistical modeling of spatial big data: an approach from a functional data analysis perspective ⋮ A partial overview of the theory of statistics with functional data ⋮ Nonparametric relative error regression for spatial random variables ⋮ Penalized model-based clustering of complex functional data ⋮ Asymptotic results of semi-functional partial linear regression estimate under functional spatial dependency ⋮ Nonparametric Prediction for Spatial Dependent Functional Data Under Fixed Sampling Design ⋮ Minimax estimation of the mode of functional data ⋮ Consistency of a nonparametric conditional mode estimator for random fields

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• Simple estimation of the mode of a multivariate density

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